GLOCAL SCHOOL OF TECHNOLOGY AND COMPUTER SCIENCE

B.Tech CSE (Machine Learning)

Course Details

Program:  B.Tech (Machine Learning)
Type:  Graduate
Duration: 4 Years (8 Semester)

Program Overview:

Department has well qualified and vibrant faculty dedicated for the betterment of the students. Most of the students passed out are well placed or have opted for higher studies. The department has provided a well-equipped computer lab with the latest computer software.

The CSE course is designed to equip students with the knowledge of computer architecture, software engineering, processor designs, computer networks, wireless communication along with the skills of programming and machine learning to expand their technological horizons.

Fee Structure

B.Tech – Computer Science and Engineering  (Machine Learning)
Tuition Fee University Examination Fee
Rs. 1,00,000/- (Per Year)  Rs. 1,000/- (Per Year)
OTHER FEE DETAILS AMOUNT
Admission Registration Fee (One Time) Rs. 1,000/-
Clinical Posting/Field Work/Industrial Training Additional if Required
Degree/Migration/Character/Convocation Charges/Alumni Charges Additional*
* Shall be charged along with the final Semester/Year fee

Career

  1. After completing a Bachelor of Technology (B.Tech) in Computer Science and Engineering (CSE) with a specialization in Machine Learning (ML), there are several career opportunities available in various fields. Here are some popular career options:
  2. Machine Learning Engineer: B.Tech CSE graduates with a specialization in ML can work as machine learning engineers and design, develop and implement machine learning algorithms and models to solve real-world problems.
  3. Data Analyst: B.Tech CSE graduates with a specialization in ML can work as data analysts and analyze large amounts of data using statistical and computational techniques to derive meaningful insights.
  4. Data Scientist: B.Tech CSE graduates with a specialization in ML can work as data scientists and analyze large amounts of data using statistical and computational techniques to derive meaningful insights. They can also design experiments to test hypotheses, develop predictive models, and communicate findings to stakeholders.
  5. Artificial Intelligence Engineer: B.Tech CSE graduates with a specialization in ML can work as AI engineers and develop AI systems and algorithms for various applications like image recognition, speech recognition, natural language processing, and autonomous vehicles.
  6. Software Developer: B.Tech CSE graduates with a specialization in ML can work as software developers and develop software applications using ML algorithms and techniques.
  7. Research Scientist: B.Tech CSE graduates with a specialization in ML can work as research scientists and conduct research on cutting-edge ML technologies and techniques to advance the field of ML.
  8. Business Analyst: B.Tech CSE graduates with a specialization in ML can work as business analysts and use ML techniques to analyze market trends, customer behavior, and other business data to identify opportunities for growth and improvement.
  9. Quantitative Analyst: B.Tech CSE graduates with a specialization in ML can work as quantitative analysts and use ML techniques to analyze financial and economic data, develop trading strategies, and manage risk.
  10. Big Data Engineer: B.Tech CSE graduates with a specialization in ML can work as big data engineers and develop and maintain large-scale data processing systems using ML techniques.
  11. Cloud Solutions Architect: B.Tech CSE graduates with a specialization in ML can work as cloud solutions architects and design and implement cloud-based ML solutions for organizations.
  12. Overall, there are many career opportunities available after completing a B.Tech in CSE with specialization in ML and the demand for ML professionals is expected to increase in the future with the growth of the ML industry.